In-memory databases may be fast, but they’re unreliable

Applications That Require High Performance Often Rely on In-Memory Databases, Which Come With a Number of Limitations:

Lack of Reliability:
Data is only sporadically persisted (written to disk). When the system goes down, it may take hours to rebuild the database using transaction logs since the last time data was persisted. Prolonged downtime means lost revenue.

Inability to Scale:
The size of in-memory databases is RAM-limited. Trying to fix the problem by distributing the data across multiple machines causes a lot of network traffic, which slows performance.

High Cost of Ownership:
Trying to fix the scalability problem by adding RAM (buying a bigger machine) is expensive.


Intersystems IRIS is a Superior Alternative to In-Memory Databases

InterSystems IRIS Data Platform Includes a Unique Multidimensional Database That Performs as Well as — or Better! — Than In-Memory Databases With:

Data Continuously Written to Disk:
Data is not lost when a machine is turned off or crashes.


Database Mirroring:
The time required to recover from unplanned outages can be reduced to zero.


Reduced Network Traffic in Distributed Systems:
Enables massive scalability without degrading performance.


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